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2020 – today
- 2025
[j54]Pierre-Jean Bénard
, Yann Traonmilin, Jean-François Aujol:
Sketched Over-Parametrized Projected Gradient Descent for Sparse Spike Estimation. IEEE Signal Process. Lett. 32: 16-20 (2025)- 2024
- [j53]Yann Traonmilin, Jean-François Aujol, Pierre-Jean Bénard, Arthur Leclaire:
On Strong Basins of Attractions for Non-convex Sparse Spike Estimation: Upper and Lower Bounds. J. Math. Imaging Vis. 66(1): 57-74 (2024) - [j52]Hui Shi, Yann Traonmilin, Jean-François Aujol:
Batch-Less Stochastic Gradient Descent for Compressive Learning of Deep Regularization for Image Denoising. J. Math. Imaging Vis. 66(4): 464-477 (2024) - [j51]Jean-François Aujol, Charles Dossal, Aude Rondepierre:
FISTA is an automatic geometrically optimized algorithm for strongly convex functions. Math. Program. 204(1): 449-491 (2024) - [j50]Jean-François Aujol, Luca Calatroni, Charles Dossal, Hippolyte Labarrière, Aude Rondepierre:
Parameter-Free FISTA by Adaptive Restart and Backtracking. SIAM J. Optim. 34(4): 3259-3285 (2024) - [c40]Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol:
Projected Block Coordinate Descent for Sparse Spike Estimation. EUSIPCO 2024: 2667-2671 - [c39]Antoine Guennec, Jean-François Aujol, Yann Traonmilin:
Adaptive Parameter Selection for Gradient-Sparse Plus Low Patch-Rank Recovery: Application to Image Decomposition. EUSIPCO 2024: 2672-2676 - [i13]Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol:
Projected Block Coordinate Descent for sparse spike estimation. CoRR abs/2402.12021 (2024) - 2023
- [j49]Jean-François Aujol, Charles Dossal, Aude Rondepierre:
Convergence rates of the Heavy-Ball method under the Łojasiewicz property. Math. Program. 198(1): 195-254 (2023) - [c38]Hui Shi, Yann Traonmilin, Jean-François Aujol:
Compressive Learning of Deep Regularization for Denoising. SSVM 2023: 162-174 - [i12]Chao Wang, Jean-François Aujol, Guy Gilboa, Yifei Lou:
Minimizing Quotient Regularization Model. CoRR abs/2308.04095 (2023) - [i11]Hui Shi, Yann Traonmilin, Jean-François Aujol:
Batch-less stochastic gradient descent for compressive learning of deep regularization for image denoising. CoRR abs/2310.03085 (2023) - 2022
- [j48]Hui Shi, Yann Traonmilin, Jean-François Aujol:
Compressive Learning for Patch-Based Image Denoising. SIAM J. Imaging Sci. 15(3): 1184-1212 (2022) - [j47]Jean-François Aujol, Charles Dossal, Aude Rondepierre:
Convergence Rates of the Heavy Ball Method for Quasi-strongly Convex Optimization. SIAM J. Optim. 32(3): 1817-1842 (2022) - [j46]Anaïs Gastineau, Jean-François Aujol, Yannick Berthoumieu, Christian Germain:
Generative Adversarial Network for Pansharpening With Spectral and Spatial Discriminators. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [c37]Axel Baldanza, Jean-François Aujol, Yann Traonmilin, François Alary:
Piecewise linear prediction model for action tracking in sports. EUSIPCO 2022: 518-522 - [c36]Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol:
Fast off-the-grid sparse recovery with over-parametrized projected gradient descent. EUSIPCO 2022: 2206-2210 - [i10]Dang-Phuong-Lan Nguyen, Jean-François Aujol, Yannick Berthoumieu:
Patch-based image Super Resolution using generalized Gaussian mixture model. CoRR abs/2206.03069 (2022) - 2021
- [j45]Vassilis Apidopoulos, Jean-François Aujol, Charles Dossal, Aude Rondepierre:
Convergence rates of an inertial gradient descent algorithm under growth and flatness conditions. Math. Program. 187(1): 151-193 (2021) - [c35]Hui Shi, Yann Traonmilin, Jean-François Aujol:
Sketched Learning for Image Denoising. SSVM 2021: 281-293 - 2020
- [j44]Vassilis Apidopoulos, Jean-François Aujol, Charles Dossal:
Convergence rate of inertial Forward-Backward algorithm beyond Nesterov's rule. Math. Program. 180(1): 137-156 (2020) - [j43]Yann Traonmilin, Jean-François Aujol, Arthur Leclaire:
Projected Gradient Descent for Non-Convex Sparse Spike Estimation. IEEE Signal Process. Lett. 27: 1110-1114 (2020) - [c34]Anaïs Gastineau, Jean-François Aujol, Yannick Berthoumieu, Christian Germain:
A Residual Dense Generative Adversarial Network For Pansharpening With Geometrical Constraints. ICIP 2020: 493-497 - [c33]Arthur Renaudeau, Travis Seng, Axel Carlier, Fabien Pierre, François Lauze, Jean-François Aujol, Jean-Denis Durou:
Learning Defects in Old Movies from Manually Assisted Restoration. ICPR 2020: 5254-5261 - [i9]Johannes Hertrich, Dang Phoung Lan Nguyen, Jean-François Aujol, Dominique Bernard, Yannick Berthoumieu, Abdellativ Sa'adaldin, Gabriele Steidl:
PCA Reduced Gaussian Mixture Models with Applications in Superresolution. CoRR abs/2009.07520 (2020) - [i8]Yann Traonmilin, Jean-François Aujol, Arthur Leclaire:
The basins of attraction of the global minimizers of non-convex inverse problems with low-dimensional models in infinite dimension. CoRR abs/2009.08670 (2020) - [i7]Yann Traonmilin, Jean-François Aujol, Arthur Leclaire:
An algorithm for non-convex off-the-grid sparse spike estimation with a minimum separation constraint. CoRR abs/2012.01262 (2020)
2010 – 2019
- 2019
- [j42]Pierre Biasutti, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau:
Diffusion and inpainting of reflectance and height LiDAR orthoimages. Comput. Vis. Image Underst. 179: 31-40 (2019) - [j41]Jean-François Aujol, Jalal Fadili, Michael Hintermüller, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl:
Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA). J. Math. Imaging Vis. 61(5): 643-644 (2019) - [j40]Jean-François Aujol, Charles Dossal, Aude Rondepierre:
Optimal Convergence Rates for Nesterov Acceleration. SIAM J. Optim. 29(4): 3131-3153 (2019) - [c32]Pierre Biasutti, Vincent Lepetit, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau:
LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net. ICCV Workshops 2019: 942-950 - [c31]Arthur Renaudeau, François Lauze, Fabien Pierre, Jean-François Aujol, Jean-Denis Durou:
Alternate Structural-Textural Video Inpainting for Spot Defects Correction in Movies. SSVM 2019: 104-116 - [c30]Pierre Biasutti, Aurélie Bugeau, Jean-François Aujol, Mathieu Brédif:
Visibility Estimation in Point Clouds with Variable Density. VISIGRAPP (4: VISAPP) 2019: 27-35 - [i6]Pierre Biasutti, Aurélie Bugeau, Jean-François Aujol, Mathieu Brédif:
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud. CoRR abs/1905.08748 (2019) - [i5]Pierre Biasutti, Vincent Lepetit, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau:
LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net. CoRR abs/1908.11656 (2019) - 2018
- [j39]Yvain Quéau, Jean-Denis Durou, Jean-François Aujol:
Normal Integration: A Survey. J. Math. Imaging Vis. 60(4): 576-593 (2018) - [j38]Yvain Quéau, Jean-Denis Durou, Jean-François Aujol:
Variational Methods for Normal Integration. J. Math. Imaging Vis. 60(4): 609-632 (2018) - [j37]Jean-François Aujol, Guy Gilboa, Nicolas Papadakis:
Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals. SIAM J. Imaging Sci. 11(2): 1416-1440 (2018) - [j36]Vassilis Apidopoulos, Jean-François Aujol, Charles Dossal:
The Differential Inclusion Modeling FISTA Algorithm and Optimality of Convergence Rate in the Case b $\leq3$. SIAM J. Optim. 28(1): 551-574 (2018) - [c29]Brendan Le Bouill, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle:
Regularised Projection of an Image Domain Triangulation for Disparity Map Refinement. ISIVC 2018: 254-259 - [i4]Yann Traonmilin, Jean-François Aujol:
The basins of attraction of the global minimizers of the non-convex sparse spikes estimation problem. CoRR abs/1811.12000 (2018) - 2017
- [j35]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Gabriele Steidl, Vinh-Thong Ta:
Variational Contrast Enhancement of Gray-Scale and RGB Images. J. Math. Imaging Vis. 57(1): 99-116 (2017) - [j34]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Vinh-Thong Ta:
Interactive Video Colorization Within a Variational Framework. SIAM J. Imaging Sci. 10(4): 2293-2325 (2017) - [j33]Mireille El Gheche, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle:
Texture Reconstruction Guided by a High-Resolution Patch. IEEE Trans. Image Process. 26(2): 549-560 (2017) - [c28]Fabien Pierre, Jean-François Aujol, Charles-Alban Deledalle, Nicolas Papadakis:
Luminance-Guided Chrominance Denoising with Debiased Coupled Total Variation. EMMCVPR 2017: 235-248 - [i3]Yvain Quéau, Jean-Denis Durou, Jean-François Aujol:
Normal Integration: A Survey. CoRR abs/1709.05940 (2017) - [i2]Yvain Quéau, Jean-Denis Durou, Jean-François Aujol:
Variational Methods for Normal Integration. CoRR abs/1709.05965 (2017) - 2016
- [j32]Jean-François Aujol, Mila Nikolova, Nicolas Papadakis:
Guest Editorial: Scale-Space and Variational Methods. J. Math. Imaging Vis. 56(2): 173-174 (2016) - [j31]Moncef Hidane, Mireille El Gheche, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle:
Image Zoom Completion. IEEE Trans. Image Process. 25(8): 3505-3517 (2016) - [c27]Camille Sutour, Jean-François Aujol, Charles-Alban Deledalle:
Automatic estimation of the noise level function for adaptive blind denoising. EUSIPCO 2016: 76-80 - [c26]Marco Bevilacqua, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau:
Visibility estimation and joint inpainting of lidar depth maps. ICIP 2016: 3503-3507 - [c25]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Gabriele Steidl, Vinh-Thong Ta:
Hue-preserving perceptual contrast enhancement. ICIP 2016: 4067-4071 - [c24]Mireille El Gheche, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle, Ronan Fablet:
Texture synthesis guided by a low-resolution image. IVMSP 2016: 1-5 - 2015
- [j30]Camille Sutour, Jean-François Aujol, Charles-Alban Deledalle, Baudouin Denis de Senneville:
Edge-Based Multi-modal Registration and Application for Night Vision Devices. J. Math. Imaging Vis. 53(2): 131-150 (2015) - [j29]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta:
Luminance-Chrominance Model for Image Colorization. SIAM J. Imaging Sci. 8(1): 536-563 (2015) - [j28]Camille Sutour, Charles-Alban Deledalle, Jean-François Aujol:
Estimation of the Noise Level Function Based on a Nonparametric Detection of Homogeneous Image Regions. SIAM J. Imaging Sci. 8(4): 2622-2661 (2015) - [j27]Jean-François Aujol, Charles Dossal:
Stability of Over-Relaxations for the Forward-Backward Algorithm, Application to FISTA. SIAM J. Optim. 25(4): 2408-2433 (2015) - [c23]Jean-François Aujol, Guy Gilboa, Nicolas Papadakis:
Fundamentals of Non-Local Total Variation Spectral Theory. SSVM 2015: 66-77 - [c22]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Vinh-Thong Ta:
Luminance-Hue Specification in the RGB Space. SSVM 2015: 413-424 - [e1]Jean-François Aujol, Mila Nikolova, Nicolas Papadakis:
Scale Space and Variational Methods in Computer Vision - 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings. Lecture Notes in Computer Science 9087, Springer 2015, ISBN 978-3-319-18460-9 [contents] - 2014
- [j26]Gilles Aubert, Jean-François Aujol:
Poisson Skeleton Revisited: a New Mathematical Perspective. J. Math. Imaging Vis. 48(1): 149-159 (2014) - [j25]Gabriel Peyré, Jalal Fadili, Jean-François Aujol, Laurent D. Cohen:
Guest Editorial - JMIV Special Issue Mathematics and Image Analysis. J. Math. Imaging Vis. 48(2): 203-204 (2014) - [j24]Gui-Song Xia, Sira Ferradans, Gabriel Peyré, Jean-François Aujol:
Synthesizing and Mixing Stationary Gaussian Texture Models. SIAM J. Imaging Sci. 7(1): 476-508 (2014) - [j23]Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol:
Regularized Discrete Optimal Transport. SIAM J. Imaging Sci. 7(3): 1853-1882 (2014) - [j22]Camille Sutour, Charles-Alban Deledalle, Jean-François Aujol:
Adaptive Regularization of the NL-Means: Application to Image and Video Denoising. IEEE Trans. Image Process. 23(8): 3506-3521 (2014) - [c21]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Vinh-Thong Ta:
A Unified Model for Image Colorization. ECCV Workshops (3) 2014: 297-308 - [c20]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta:
Exemplar-based colorization in RGB color space. ICIP 2014: 625-629 - [c19]Moncef Hidane, Jean-François Aujol, Yannick Berthoumieu, Charles-Alban Deledalle:
Super-resolution from a low- and partial high-resolution image pair. ICIP 2014: 2145-2149 - [c18]Camille Sutour, Jean-François Aujol, Charles-Alban Deledalle, Jean-Philippe Domenger:
Adaptive regularization of the NL-means for video denoising. ICIP 2014: 2704-2708 - 2013
- [j21]Nicolas Papadakis, Romain Yildizoglu, Jean-François Aujol, Vicent Caselles:
High-Dimension Multilabel Problems: Convex or Nonconvex Relaxation? SIAM J. Imaging Sci. 6(4): 2603-2639 (2013) - [c17]Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis:
A Convex Formulation for Global Histogram Based Binary Segmentation. EMMCVPR 2013: 335-349 - [c16]Sira Ferradans, Gui-Song Xia, Gabriel Peyré, Jean-François Aujol:
Static and Dynamic Texture Mixing Using Optimal Transport. SSVM 2013: 137-148 - [c15]Sira Ferradans, Nicolas Papadakis, Julien Rabin, Gabriel Peyré, Jean-François Aujol:
Regularized Discrete Optimal Transport. SSVM 2013: 428-439 - [i1]Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol:
Regularized Discrete Optimal Transport. CoRR abs/1307.5551 (2013) - 2012
- [c14]Romain Yildizoglu, Jean-François Aujol, Nicolas Papadakis:
Active contours without level sets. ICIP 2012: 2549-2552 - [c13]Gui-Song Xia, Sira Ferradans, Gabriel Peyré, Jean-François Aujol:
Compact representations of stationary dynamic textures. ICIP 2012: 2993-2996 - 2011
- [j20]Pierre Maurel, Jean-François Aujol, Gabriel Peyré:
Locally Parallel Texture Modeling. SIAM J. Imaging Sci. 4(1): 413-447 (2011) - [j19]Vincent Duval, Jean-François Aujol, Yann Gousseau:
A Bias-Variance Approach for the Nonlocal Means. SIAM J. Imaging Sci. 4(2): 760-788 (2011) - [c12]Sandrine Anthoine, Jean-François Aujol, Yannick Boursier, Clothilde Mélot:
On the efficiency of proximal methods in CBCT and PET. ICIP 2011: 1365-1368 - 2010
- [j18]Vincent Duval, Jean-François Aujol, Luminita A. Vese:
Mathematical Modeling of Textures: Application to Color Image Decomposition with a Projected Gradient Algorithm. J. Math. Imaging Vis. 37(3): 232-248 (2010) - [j17]Jean-François Aujol, Saïd Ladjal, Simon Masnou:
Exemplar-Based Inpainting from a Variational Point of View. SIAM J. Math. Anal. 42(3): 1246-1285 (2010)
2000 – 2009
- 2009
- [j16]Jean-François Aujol:
Some First-Order Algorithms for Total Variation Based Image Restoration. J. Math. Imaging Vis. 34(3): 307-327 (2009) - [j15]Gabriele Facciolo, Andrés Almansa, Jean-François Aujol, Vicent Caselles:
Irregular to Regular Sampling, Denoising, and Deconvolution. Multiscale Model. Simul. 7(4): 1574-1608 (2009) - [j14]Bin Luo, Jean-François Aujol, Yann Gousseau:
Local Scale Measure from the Topographic Map and Application to Remote Sensing Images. Multiscale Model. Simul. 8(1): 1-29 (2009) - [j13]Vincent Duval, Jean-François Aujol, Yann Gousseau:
The TVL1 Model: A Geometric Point of View. Multiscale Model. Simul. 8(1): 154-189 (2009) - [c11]Jean-Denis Durou, Jean-François Aujol, Frédéric Courteille:
Integrating the Normal Field of a Surface in the Presence of Discontinuities. EMMCVPR 2009: 261-273 - [c10]Pierre Maurel, Jean-François Aujol, Gabriel Peyré:
Locally Parallel Textures Modeling with Adapted Hilbert Spaces. EMMCVPR 2009: 429-442 - [c9]Vincent Duval, Jean-François Aujol, Luminita A. Vese:
Projected Gradient Based Color Image Decomposition. SSVM 2009: 295-306 - [c8]Bin Luo, Jean-François Aujol, Yann Gousseau:
Local Scale Measure for Remote Sensing Images. SSVM 2009: 856-867 - 2008
- [j12]Gilles Aubert, Jean-François Aujol:
A Variational Approach to Removing Multiplicative Noise. SIAM J. Appl. Math. 68(4): 925-946 (2008) - [j11]Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal:
Indexing of Satellite Images With Different Resolutions by Wavelet Features. IEEE Trans. Image Process. 17(8): 1465-1472 (2008) - 2007
- [j10]Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal, Henri Maître:
Resolution-Independent Characteristic Scale Dedicated to Satellite Images. IEEE Trans. Image Process. 16(10): 2503-2514 (2007) - [c7]Gilles Aubert, Jean-François Aujol:
A Nonconvex Model to Remove Multiplicative Noise. SSVM 2007: 68-79 - 2006
- [j9]Jean-François Aujol, Guy Gilboa, Tony F. Chan, Stanley J. Osher:
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection. Int. J. Comput. Vis. 67(1): 111-136 (2006) - [j8]Jean-François Aujol, Guy Gilboa:
Constrained and SNR-Based Solutions for TV-Hilbert Space Image Denoising. J. Math. Imaging Vis. 26(1-2): 217-237 (2006) - [j7]Jean-François Aujol, Sung Ha Kang:
Color image decomposition and restoration. J. Vis. Commun. Image Represent. 17(4): 916-928 (2006) - [j6]Jean-François Aujol, Tony F. Chan:
Combining geometrical and textured information to perform image classification. J. Vis. Commun. Image Represent. 17(5): 1004-1023 (2006) - [j5]David M. Strong, Jean-François Aujol, Tony F. Chan:
Scale Recognition, Regularization Parameter Selection, and Meyer's G Norm in Total Variation Regularization. Multiscale Model. Simul. 5(1): 273-303 (2006) - [c6]Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal, Henri Maître:
Characteristic Scale in Satellite Images. ICASSP (2) 2006: 809-812 - [c5]Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal:
Extrapolation of Wavelet Features for the Indexing of Satellite Images with Different Resolutions. IGARSS 2006: 176-179 - 2005
- [j4]Jean-François Aujol, Antonin Chambolle:
Dual Norms and Image Decomposition Models. Int. J. Comput. Vis. 63(1): 85-104 (2005) - [j3]Gilles Aubert, Jean-François Aujol, Laure Blanc-Féraud:
Detecting Codimension - Two Objects in an Image with Ginzburg-Landau Models. Int. J. Comput. Vis. 65(1-2): 29-42 (2005) - [j2]Jean-François Aujol, Gilles Aubert, Laure Blanc-Féraud, Antonin Chambolle:
Image Decomposition into a Bounded Variation Component and an Oscillating Component. J. Math. Imaging Vis. 22(1): 71-88 (2005) - [c4]Jean-François Aujol, Guy Gilboa, Tony F. Chan, Stanley J. Osher:
Structure-Texture Decomposition by a TV-Gabor Model. VLSM 2005: 85-96 - [c3]Jean-François Aujol, Tony F. Chan:
Combined Geometric-Texture Image Classification. VLSM 2005: 161-172 - 2003
- [j1]Jean-François Aujol, Gilles Aubert, Laure Blanc-Féraud:
Wavelet-based level set evolution for classification of textured images. IEEE Trans. Image Process. 12(12): 1634-1641 (2003) - [c2]Jean-François Aujol, Gilles Aubert, Laure Blanc-Féraud:
Wavelet-based level set evolution for classification of textured images. ICIP (2) 2003: 1041-1044 - [c1]Jean-François Aujol, Gilles Aubert, Laure Blanc-Féraud, Antonin Chambolle:
Image Decomposition Application to SAR Images. Scale-Space 2003: 297-312
Coauthor Index
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